Facial Recognition Ticketing
No More Lines, No More Waiting
Get enhanced security, seamless flow, and reduced overheads with face ticketing.
AI-Powered Facial Authentication
Experience our cutting-edge, AI-powered proprietary technology built to streamline event authentication processes, with security and privacy at the forefront.
- Lightning-fast Recognition
- Robust Attendance Management
- Touchless User Experience
The Future of Event Ticketing
Surpass legacy ticketing methods & experience a frictionless and secure system for managing visitor flow, preventing fraud, and optimizing efficiency across your operations.
Our technology enables swift enrollment, touchless access, and real-time analytics, providing actionable data for crowd management, security enhancements, and operational optimization.
How Facia Helps With Event Management
Pre-Event: Facia integrates with ticketing platforms, capturing facial data securely during ticket purchase.
At the Event: Attendees walk up to access points. Cameras capture their faces, and Facia's algorithms verify them in seconds. Faster entry frees up staff, while real-time data provides insights (with consent).
Why Choose Facia?
At Facia, we're leading the way in facial recognition and we're passionate about making ticket systems better, smoother, more secure, and more enjoyable for everyone involved.
- Technical superiority in accuracy, speed, & anti-spoofing.
- Scalability for diverse use cases and large-scale deployments.
- Focus on security, privacy, and compliance.
Benefits of Facial Recognition
Ticketing System
Enhanced Security
Our system prevents unauthorized access with fake tickets or copies, significantly reducing losses due to scalping and counterfeit tickets.
Streamlines Check-in
High-speed, contactless verification drastically accelerates entry compared to manual methods. This eliminates bottlenecks and long queues, ensuring smooth crowd flow.
Operational Efficiency
Eliminate the costs of physical tickets and manual checks. Automated entry frees up staff for customer service and other critical tasks.
Data-Driven Insights
Gain real-time attendance data and analyze crowd movement patterns. Use these valuable insights to optimize crowd management, marketing strategies, and future event planning.
Transform your event management experience with Facia
Request A DemoFrequently Asked Questions
A facial ticketing system leverages facial recognition technology to replace traditional paper or digital tickets. Attendees provide a facial scan during ticket purchase, and cameras verify their identities on-site for seamless access. This enhances security, streamlines entry, and combats fraud.
Yes, facial recognition is increasingly used in stadiums for various purposes:
- Seamless Entry: Attendees walk up to entry points and are quickly verified by cameras, eliminating the need for physical tickets and reducing wait times.
- Fraud Prevention: Facial ticketing makes it nearly impossible to use fake or duplicated tickets, minimizing revenue loss from scalping and counterfeiting.
- Security Enhancement: Facial recognition systems can be integrated with security databases to identify individuals on watchlists, enhancing overall safety.
- Fan Experience: Streamlined access and reduced congestion contribute to a more enjoyable experience for fans.
Facia employs its proprietary facial recognition software. Our core technology is built upon advanced algorithms specifically designed for speed, accuracy, and anti-spoofing measures within the dynamic environment of live events. Our system excels at both 1:1 verification and 1:N identification.
Facial recognition transforms events with a secure facial ID that replaces tickets, speeds up entry, and provides valuable data insights. This translates to a frictionless experience for attendees and enhanced security and operational efficiency for organizers.
Facia prioritizes user privacy. We adhere to a privacy-by-design approach, giving users control over their data and offering clear opt-in choices. Additionally, we minimize data collection (no PII) and utilize anonymized representations to protect user information.
